In machine learning, continuously retraining a model guarantees accurate predictions based
on the latest data as training input. But to retrieve the latest data from a database, time …

As part of the code-generating database system HyPer, SQL lambda functions allow user-
defined metrics to be injected into data mining operators during compile time. Since version …

In machine learning, continuously retraining a model guarantees accurate predictions based
on the latest data as training input. But to retrieve the latest data from a database, time …

Online encyclopaedias such as Wikipedia implement their own version control above
database systems to manage multiple revisions of the same page. In contrast to temporal …

To implement algorithms within database systems beyond the design of SQL as a data
query language, library functions or external tools were used that require the extraction of …

Online encyclopaedias such as Wikipedia rely on incremental edits that change text strings
marginally. To support text versioning inside of the Umbra database system, this study …

Array database systems offer a declarative language for arraybased access on
multidimensional data. Although ArrayQL formulates the operators for a standardised query …

Both forward and reverse mode automatic differentiation derive a model function as used for
gradient descent automatically. Reverse mode calculates all derivatives in one run, whereas …

Data preprocessing, the step of transforming data into a suitable format for training a model,
rarely happens within database systems but rather in external Python libraries and thus …

Skyline operators compute the Pareto-optimum on multi-dimensional data inside disk-based
database systems. With the arising trend of main-memory database systems, pipelines …